learning_rate: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 100

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	5	7.2996	0.0	7.2996	2.7018
No log	2.0	10	4.2321	0.0139	4.2321	2.0572
No log	3.0	15	2.2563	0.1026	2.2563	1.5021
No log	4.0	20	1.3198	0.0316	1.3198	1.1488
No log	5.0	25	1.3708	0.0474	1.3708	1.1708
No log	6.0	30	0.9395	0.0423	0.9395	0.9693
No log	7.0	35	1.4408	0.1242	1.4408	1.2003
No log	8.0	40	0.7493	0.3894	0.7493	0.8656
No log	9.0	45	1.1950	0.1449	1.1950	1.0932
No log	10.0	50	0.6650	0.3050	0.6650	0.8155
No log	11.0	55	0.6855	0.3614	0.6855	0.8279
No log	12.0	60	0.6893	0.3309	0.6893	0.8302
No log	13.0	65	0.7337	0.4411	0.7337	0.8566
No log	14.0	70	0.6808	0.4477	0.6808	0.8251
No log	15.0	75	0.9339	0.3776	0.9339	0.9664
No log	16.0	80	0.9550	0.3811	0.9550	0.9773
No log	17.0	85	1.0168	0.3822	1.0168	1.0084
No log	18.0	90	0.8075	0.3998	0.8075	0.8986
No log	19.0	95	1.1281	0.3648	1.1281	1.0621
No log	20.0	100	1.6624	0.2519	1.6624	1.2893
No log	21.0	105	0.8079	0.4422	0.8079	0.8988
No log	22.0	110	1.0370	0.3903	1.0370	1.0184
No log	23.0	115	1.0733	0.3867	1.0733	1.0360
No log	24.0	120	1.0458	0.3926	1.0458	1.0226
No log	25.0	125	1.0530	0.3992	1.0530	1.0262
No log	26.0	130	1.8766	0.2883	1.8766	1.3699
No log	27.0	135	1.3255	0.3485	1.3255	1.1513
No log	28.0	140	1.0954	0.3869	1.0954	1.0466
No log	29.0	145	1.0009	0.4263	1.0009	1.0005
No log	30.0	150	1.2384	0.3801	1.2384	1.1128
No log	31.0	155	1.1578	0.3730	1.1578	1.0760
No log	32.0	160	0.9258	0.4337	0.9258	0.9622
No log	33.0	165	1.8064	0.3186	1.8064	1.3440
No log	34.0	170	1.0710	0.3881	1.0710	1.0349

genki10/ASAP_FineTuningBERT_AugV15_k5_task1_organization_k5_k5_fold0

ASAP_FineTuningBERT_AugV15_k5_task1_organization_k5_k5_fold0